Senior Scientist

Description

Hybrid: This means the successful candidate is expected to report to their primary location (Warren, MI or Austin, Texas) three times per week, at minimum.

The Role:

The Applied Analytics & Insights - Internal Business Functions team is focused on execution-based analytics to help GM achieve better business outcomes through contextualized solutions with targeted actions. The individual will work as a member of a multi-disciplinary team of various experience levels that frame opportunities, wrangle the necessary data and create end-to-end analytical pipelines, develop user interfaces for analytical insights, and build POC and production models in support of better business decisions. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas.

What You'll do:

• Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges across internal business functions
• Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:
  • Build predictive/prescriptive models and machine-learning algorithms
  • Analyze large amounts of diverse information to discover trends and patterns
  • Undertake preprocessing of structured and unstructured data
  • Monitor and sustain model effectiveness
  • Present complex information using data visualization techniques
• Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing
• Create technical documents for models and processes
• Present complex information using data visualization techniques and data storytelling
• Create repeatable and scalable code and processes for improving development/execution efficiency.

Additional Description

Your Skills & Abilities (Required Qualifications)

• Master's Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field
• Minimum five years of experience as a Data Scientist developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
• Proficient writing code using Python or R and developing SQL queries, running models in Spark, working with big data tools like Hadoop, IBM Elastic Storage System, or equivalent, and visualizing data using Power BI or Tableau or other
• Hands-on experience developing and deploying models using MLops framework utilizing Databricks /Azure services ( Synapse, Azure Data Factory, Power BI) or AWS tools (SageMaker, Glue, EMR) or Google Cloud Platform (Dataflow, Big Query, Cloud Run)
• Capable of working with diverse technical teams to produce analytical dataset pipelines and user interfaces
• Text analytics and NLP (natural language processing) experience in a corporate setting is a plus.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills
• Highly collaborative work style
• Ability to evaluate the big picture and provide meaningful business insights and actions

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

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